class: inverse, center, middle <br> <br> <br> <h1 class="title-own">NYCJA Chief, Data Analytics & Research<br/>.small[2nd Round Interview]</h1> <br> <br> .small[Magdalena Bennett <br>*McCombs School of Business, The University of Texas at Austin* ] <br> .small[New York Criminal Justice Agency<br>April 30th, 2025] --- # Outline -- - **.coolblue[Research Agenda Example]**: - Insights from dashboard and reports. -- <br> <br> - **.coolblue[Relations with Stakeholders]**: - Internal and external partners. -- <br> <br> - **.coolblue[Team Building and Organization]** --- background-position: 50% 50% class: left, middle, inverse <br> <br> <br> <br> <br> <br> <br> .big[ From Insight to Inquiry ] --- # Description: Path of Pre-Trial Decisions --
--- # Analysis: Economic and Social Costs of Pre-Trail Detentions -- .pull-left[ - Pre-trial detention is **.coolblue[<u>costly</u>]**. - <small>E.g. Costs associated to the city and costs associated to the individual.</small> <br> .center[ .box-3[Visualization and Analysis] ] ] -- .pull-right[ <!-- --> ] --- # Proposal: Predictive Models for Improved Decisions -- - In 2023, approximately **.coolblue[30% of cases for detained individuals were dismissed]** and over **.coolblue[20% of individuals]** on pre-trial release committed a **.coolblue[misdemeanor or felony]**. -- <br> <br> - How do judges/prosecutors make **.coolblue[pre-trial decisions?]** - Is there additional information that can be provided using a <u>data-driven approach</u>? -- <br> <br> - **.coolblue[Predictive modeling]** for pre-trial detention decisions - How does the demographic composition change with new approach? --- background-position: 50% 50% class: left, middle, inverse <br> <br> <br> <br> <br> <br> <br> .big[ Stakeholders Relations ] --- # What would I like to learn from current Chiefs? -- .center[.box-3r3[.center[**Chief Executive Officer**<br>Vision for pre-trial detention reduction and<br>openness to innovation with stakeholders.]]] -- <br> .pull-left[ .center[.box-3l2[.center[**Chief Program Officer**<br>Program operations, successes, challenges, opportunities for improvement.]]] ] -- .pull-right[ .center[.box-3c2[.center[**Chief Information Officer**<br>Data infrastructure, integration, ideal data vision.]]] ] -- <br> <br> .center[.box-3r2[.center[**Chief People & Culture and Operations Officers**<br>Historical and current policies, insights for causal inference studies.]]] --- # What would I like to learn from external stakeholders? - Have a **.coolblue[good understanding]** (from internal meetings) about the disposition of external stakeholders. -- <br> <br> - Conduct meetings with main strategic partners (e.g. courts, NYPD) to hear **.coolblue[where CJA can be an asset.]** - Find <u>opportunities</u> of collaboration with mutually beneficial projects. -- <br> <br> - E.g. for courts: - Understand **.coolblue[decision-making processes]** and **.coolblue[bias mitigation measures]** (if any). - Openness to **.coolblue[innovation]** in decision-making tools. --- background-position: 50% 50% class: left, middle, inverse <br> <br> <br> <br> <br> <br> <br> .big[ Team Building & Project Management ] --- # Building a High-Performing Team -- .pull-left-3[ .box-3l2[ .center[.slight_large[**Visualization**]] - Story-telling with data. - Not only descriptive, but also research-related. ]] -- .pull-center-3[ .box-3c2[ .center[.slight_large[**Quantitative**]] - Data wrangling and harmonization of different sources. - Observational and randomized studies. ]] -- .pull-right-3[ .box-3r2[ .center[.slight_large[**Qualitative**]] - Understanding theory of change. - Complement and inform quantitative research ]] -- <br> <br> <br> <br> <br> <br> <br> <br> <br> - **.coolblue[Interdisciplinary collaboration]**: Balance between technical and contextual expertise. --- # Managing Concurrent Projects -- - **.coolblue[Team Structure]**: Clear roles, shared responsibilities. -- <br> <br> - **.coolblue[Collaboration Tools]**: - Regular check-ins and public (adaptative) timelines. - Documentation and clear communication channels (e.g., Asana, GitHub). - Accountability: Defined deliverables, milestones, transparent progress tracking. -- <br> <br> - **.coolblue[Adaptability]**: - Handling new projects and re-prioritizing workloads based on urgency and impact. --- # Example of timeline .center[  ] --- # Example of timeline .center[  ] --- # Example of timeline .center[  ] --- background-position: 50% 50% class: left, middle, inverse <br> <br> <br> <br> <br> <br> <br> .big[ Summary ] --- # Strategic Research & Data Leadership -- - Focus on **.coolblue[CJA's mission]**: Reducing unnecessary pre-trial detention. - Descriptive and original research. -- <br> <br> - Be at the forefront of **.coolblue[criminal justice data visualization]** - Story-telling through data. -- <br> <br> - Active **.coolblue[collaboration]** with other areas and strategic partners. - Analyze what works, give solutions for what doesn't. --- class: inverse, center, middle <br> <br> <br> <h1 class="title-own">NYCJA Chief, Data Analytics & Research<br/>.small[2nd Round Interview]</h1> <br> <br> .small[Magdalena Bennett <br>*McCombs School of Business, The University of Texas at Austin* ] <br> .small[New York Criminal Justice Agency<br>April 30th, 2025]